Non-linear Quantum State Design for Adaptive Quantum Circuit Engineering
Jincheng Zhang
Abstract
This paper presents a novel approach to quantum circuit design leveraging non-linear quantum states. Traditional quantum circuit design relies on pre-defined gate sequences and static parameter adjustments. This work introduces a self-adaptive circuit design method that dynamically adjusts the circuit's structure and parameters based on the inherent dynamics of the quantum state. We propose a machine learning-driven system to optimize the circuit's performance by continuously refining the circuit's configuration. The core mechanism centers around the quantification of quantum state evolution and its subsequent application to circuit design. The design offers a significant advancement over existing techniques, providing a more flexible and potentially high-performing solution for complex quantum circuit architectures.